Anoop Saldanha
Suricata IDS IPS Core Developer
Bengaluru, Karnataka, India
Summary
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SeniorAnoop Saldanha is a seasoned cybersecurity engineer with 13 years of experience specializing in IDS/IPS development, malware analysis, and detection engineering. As a core developer and one of the original authors of Suricata (a widely used open-source NIDS/NIPS), he has driven performance improvements, protocol parsing, and vulnerability fixes that materially hardened the engine. He has applied that deep packet-inspection expertise across industry and research roles at OISF, Juniper, Cyphort and as an independent consultant, delivering sandboxing, endpoint deception, and offload-aware network drivers. His work blends low-level protocol and driver optimization with higher-level detection engineering—evident in contributions like content-encoding detection in Suricata rules and a memory-analysis engine for malware sandboxes. Based in Bengaluru, he also trains corporate teams and collaborates with academia, bringing practical threat research into production security products. Anoop’s uncommon strength is translating novel research (e.g., automated malware reversing via binary instrumentation and deception honeypots) into deployable, open-source security tooling.
13 years of coding experience
5 years of employment as a software developer
Github Skills (11)
http10
network-security10
ids10
c-programming10
intrusion-detection10
algorithms8
numerical-optimization8
code-optimization8
algorithm8
optimization8
optimisation8
Programming languages (2)
Github contributions (5)
OISF/suricata
Aug 2012 - Jul 2014
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
Role in this project:
Backend & Security Engineer
Backend & Security EngineerContributions:243 commits, 4 comments in 2 years
Contributions summary:Anoop primarily focused on enhancing the Suricata network intrusion detection system, specifically addressing vulnerabilities and improving its core functionality. Their contributions include fixing bugs related to the processing of various traffic, refactoring and optimizing the code related to protocol detection and matching. The user also added a feature for detecting the content-encoding based on HTTP headers in the rule engine. These changes improve both security and the overall efficiency of the system.
git-repositorynsmipssecurityids
poona/exercises-malware-analysis-and-detection-engineering
Sep 2020 - Oct 2020
Contributions:2 commits, 7 pushes, 1 branch in 1 month
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